<!doctype html> <html> <head> <meta charset="UTF-8"> <title>Real-Time Latent Consistency Model</title> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/piexifjs@1.0.6/piexif.min.js"></script> <script src="https://cdn.tailwindcss.com"></script> <style type="text/tailwindcss"> .button { @apply bg-gray-700 hover:bg-gray-800 text-white font-normal p-2 rounded disabled:bg-gray-300 dark:disabled:bg-gray-700 disabled:cursor-not-allowed dark:disabled:text-black } </style> <script type="module"> const getValue = (id) => { const el = document.querySelector(`${id}`) if (el.type === "checkbox") return el.checked; return el.value; } const startBtn = document.querySelector("#start"); const stopBtn = document.querySelector("#stop"); const videoEl = document.querySelector("#webcam"); const imageEl = document.querySelector("#player"); const queueSizeEl = document.querySelector("#queue_size"); const errorEl = document.querySelector("#error"); const snapBtn = document.querySelector("#snap"); const paramsEl = document.querySelector("#params"); const promptEl = document.querySelector("#prompt"); paramsEl.addEventListener("submit", (e) => e.preventDefault()); function LCMLive(promptEl, paramsEl, liveImage) { let websocket; async function start() { return new Promise((resolve, reject) => { const websocketURL = `${window.location.protocol === "https:" ? "wss" : "ws" }:${window.location.host}/ws`; const socket = new WebSocket(websocketURL); socket.onopen = () => { console.log("Connected to websocket"); }; socket.onclose = () => { console.log("Disconnected from websocket"); stop(); resolve({ "status": "disconnected" }); }; socket.onerror = (err) => { console.error(err); reject(err); }; socket.onmessage = (event) => { const data = JSON.parse(event.data); switch (data.status) { case "success": break; case "start": const userId = data.userId; initPromptStream(userId); break; case "timeout": stop(); resolve({ "status": "timeout" }); case "error": stop(); reject(data.message); } }; websocket = socket; }) } async function promptUpdateStream(e) { const dimension = getValue("input[name=dimension]:checked"); const [WIDTH, HEIGHT] = JSON.parse(dimension); websocket.send(JSON.stringify({ "seed": getValue("#seed"), "prompt": getValue("#prompt"), "guidance_scale": getValue("#guidance-scale"), "steps": getValue("#steps"), "lcm_steps": getValue("#lcm_steps"), "width": WIDTH, "height": HEIGHT, })); } function debouceInput(fn, delay) { let timer; return function (...args) { clearTimeout(timer); timer = setTimeout(() => { fn(...args); }, delay); } } const debouncedInput = debouceInput(promptUpdateStream, 200); function initPromptStream(userId) { liveImage.src = `/stream/${userId}`; paramsEl.addEventListener("change", debouncedInput); promptEl.addEventListener("input", debouncedInput); } async function stop() { websocket.close(); paramsEl.removeEventListener("change", debouncedInput); promptEl.removeEventListener("input", debouncedInput); } return { start, stop } } function toggleMessage(type) { errorEl.hidden = false; errorEl.scrollIntoView(); switch (type) { case "error": errorEl.innerText = "To many users are using the same GPU, please try again later."; errorEl.classList.toggle("bg-red-300", "text-red-900"); break; case "success": errorEl.innerText = "Your session has ended, please start a new one."; errorEl.classList.toggle("bg-green-300", "text-green-900"); break; } setTimeout(() => { errorEl.hidden = true; }, 2000); } function snapImage() { try { const zeroth = {}; const exif = {}; const gps = {}; zeroth[piexif.ImageIFD.Make] = "LCM Text-to-Image"; zeroth[piexif.ImageIFD.ImageDescription] = `prompt: ${getValue("#prompt")} | seed: ${getValue("#seed")} | guidance_scale: ${getValue("#guidance-scale")} | lcm_steps: ${getValue("#lcm_steps")} | steps: ${getValue("#steps")}`; zeroth[piexif.ImageIFD.Software] = "https://github.com/radames/Real-Time-Latent-Consistency-Model"; exif[piexif.ExifIFD.DateTimeOriginal] = new Date().toISOString(); const exifObj = { "0th": zeroth, "Exif": exif, "GPS": gps }; const exifBytes = piexif.dump(exifObj); const canvas = document.createElement("canvas"); canvas.width = imageEl.naturalWidth; canvas.height = imageEl.naturalHeight; const ctx = canvas.getContext("2d"); ctx.drawImage(imageEl, 0, 0); const dataURL = canvas.toDataURL("image/jpeg"); const withExif = piexif.insert(exifBytes, dataURL); const a = document.createElement("a"); a.href = withExif; a.download = `lcm_txt_2_img${Date.now()}.png`; a.click(); } catch (err) { console.log(err); } } const lcmLive = LCMLive(promptEl, paramsEl, imageEl); startBtn.addEventListener("click", async () => { try { startBtn.disabled = true; snapBtn.disabled = false; const res = await lcmLive.start(); startBtn.disabled = false; if (res.status === "timeout") toggleMessage("success") } catch (err) { console.log(err); toggleMessage("error") startBtn.disabled = false; } }); stopBtn.addEventListener("click", () => { lcmLive.stop(); }); window.addEventListener("beforeunload", () => { lcmLive.stop(); }); snapBtn.addEventListener("click", snapImage); setInterval(() => fetch("/queue_size") .then((res) => res.json()) .then((data) => { queueSizeEl.innerText = data.queue_size; }) .catch((err) => { console.log(err); }) , 5000); </script> </head> <body class="text-black dark:bg-gray-900 dark:text-white"> <div class="fixed right-2 top-2 p-4 font-bold text-sm rounded-lg max-w-xs text-center" id="error"> </div> <main class="container mx-auto px-4 py-4 max-w-4xl flex flex-col gap-4"> <article class="text-center max-w-xl mx-auto"> <h1 class="text-3xl font-bold">Real-Time Latent Consistency Model</h1> <h2 class="text-2xl font-bold mb-4">Text to Image</h2> <p class="text-sm"> This demo showcases <a href="https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7" target="_blank" class="text-blue-500 underline hover:no-underline">LCM</a> Text to Image model using <a href="https://github.com/huggingface/diffusers/tree/main/examples/community#latent-consistency-pipeline" target="_blank" class="text-blue-500 underline hover:no-underline">Diffusers</a> with a MJPEG stream server. </p> <p class="text-sm"> There are <span id="queue_size" class="font-bold">0</span> user(s) sharing the same GPU, affecting real-time performance. Maximum queue size is 10. <a href="https://huggingface.co/spaces/radames/Real-Time-Latent-Consistency-Model?duplicate=true" target="_blank" class="text-blue-500 underline hover:no-underline">Duplicate</a> and run it on your own GPU. </p> </article> <div> <h2 class="font-medium">Prompt</h2> <p class="text-sm text-gray-500 dark:text-gray-400"> Start your session and type your prompt here, accepts <a href="https://github.com/damian0815/compel/blob/main/doc/syntax.md" target="_blank" class="text-blue-500 underline hover:no-underline">Compel</a> syntax. </p> <div class="flex text-normal px-1 py-1 border border-gray-700 rounded-md items-center"> <textarea type="text" id="prompt" class="font-light w-full px-3 py-2 mx-1 outline-none dark:text-black" title=" Start your session and type your prompt here, you can see the result in real-time." placeholder="Add your prompt here...">Portrait of The Terminator with , glare pose, detailed, intricate, full of colour, cinematic lighting, trending on artstation, 8k, hyperrealistic, focused, extreme details, unreal engine 5, cinematic, masterpiece</textarea> </div> </div> <div class=""> <details> <summary class="font-medium cursor-pointer">Advanced Options</summary> <form class="grid grid-cols-3 items-center gap-3 py-3" id="params" action=""> <label class="text-sm font-medium" for="dimension">Image Dimensions</label> <div class="col-span-2 flex gap-2"> <div class="flex gap-1"> <input type="radio" id="dimension512" name="dimension" value="[512,512]" checked class="cursor-pointer"> <label for="dimension512" class="text-sm cursor-pointer">512x512</label> </div> <div class="flex gap-1"> <input type="radio" id="dimension768" name="dimension" value="[768,768]" lass="cursor-pointer"> <label for="dimension768" class="text-sm cursor-pointer">768x768</label> </div> </div> <!-- --> <label class="text-sm font-medium " for="steps">Inference Steps </label> <input type="range" id="steps" name="steps" min="1" max="20" value="4" oninput="this.nextElementSibling.value = Number(this.value)"> <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> 4</output> <!-- --> <label class="text-sm font-medium" for="lcm_steps">LCM Inference Steps </label> <input type="range" id="lcm_steps" name="lcm_steps" min="2" max="60" value="50" oninput="this.nextElementSibling.value = Number(this.value)"> <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> 50</output> <!-- --> <label class="text-sm font-medium" for="guidance-scale">Guidance Scale </label> <input type="range" id="guidance-scale" name="guidance-scale" min="0" max="30" step="0.001" value="8.0" oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)"> <output class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md"> 8.0</output> <!-- --> <label class="text-sm font-medium" for="seed">Seed</label> <input type="number" id="seed" name="seed" value="299792458" class="font-light border border-gray-700 text-right rounded-md p-2 dark:text-black"> <button class="button" onclick="document.querySelector('#seed').value = Math.floor(Math.random() * 1000000000); document.querySelector('#params').dispatchEvent(new Event('change'))"> Rand </button> <!-- --> </form> </details> </div> <div class="flex gap-3"> <button id="start" class="button"> Start </button> <button id="stop" class="button"> Stop </button> <button id="snap" disabled class="button ml-auto"> Snapshot </button> </div> <div class="relative rounded-lg border border-slate-300 overflow-hidden"> <img id="player" class="w-full aspect-square rounded-lg" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII="> </div> </main> </body> </html>